论文部分内容阅读
设计了基于神经网络和模糊逻辑的航空发动机状态监视系统,它包含数据有效性检查和发动机健康评估.系统利用BP(back propagation)神经网络对发动机进行数据有效性检查,根据发动机的状态确定测量参数的有效边界以检测发动机的测量参数是否超限;利用模糊逻辑对发动机健康状况进行实时的评估,监控发动机因性能蜕化引起的异常.通过对某型涡扇发动机仿真,验证了基于神经网络和模糊逻辑的状态监视系统的有效性.
Aeroengine condition monitoring system based on neural network and fuzzy logic is designed, which includes data validity check and engine health assessment.The system uses BP (back propagation) neural network to check the data validity of the engine and determines the measurement parameters according to the state of the engine Of the effective boundary to detect whether the measurement parameters of the engine overrun; the use of fuzzy logic for real-time assessment of the health of the engine to monitor engine performance deterioration due to the abnormal performance of a turbofan engine simulation to verify the neural network and fuzzy Logic Status Monitor the effectiveness of the system.